搜索资源列表
TSF-TOOLBOX.基于支持向量机的时间序列工具箱
- 基于支持向量机的时间序列工具箱，用svm作时间序列预测,Based on support vector machines time series toolbox for time series prediction using svm
MATLAB.rar
- matlab，时间序列，神经网络，预测，控制,matlab, time series, neural networks, prediction, control
Prediction_RBF
- matlab编写的基于混沌时间序列的神经网络预测，包括一步和多步预测算法。-matlab prepared chaotic time series based on the neural network to predict, including step and multi-step prediction algorithm.
vqtam
- MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transac
ElmanRnn
- Elman递归神经网络对时间序列的预测代码，做的效果还行，仅供参考-Elman recurrent neural network for time series prediction code, do the results were OK for reference purposes only
svm
- 做时间序列预测的svm程序,matlab编的-svm program for time series prediction
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
FS
- 采用局部线性逼近法来预测复杂的混沌时间序列。-Local linear approximation method using chaotic time series prediction
fse-source
- for prediction. some code for time series prediction
chaos-time-series-prediction
- 混沌时间序列多步自适应预测方法，非常有用，采用自适应算法，比局部算法要准确-chaos time series prediction
Time-Series-Prediction-ANN
- Using artificial neural networks for time series prediction.
network-time-series-prediction-
- 小波神经网络的时间序列预测-短时交通流量预测-Wavelet neural network time series prediction- Short traffic flow forecasting
Time-Series-Prediction
- Time-Series Prediction with NNMLP
time-series-prediction-of-short-term-traffic
- Wavelet neural network time series prediction of short-term traffic flow forecasting
Time-Series-Prediction
- Time-Series Prediction
WNN-Time-Series-Prediction
- 一篇经典的学术论文，基于小波神经网络的时间序列预测，适合初学者学习-The Application of Wavelet Neural Network in Time Series Prediction and
time-series-prediction
- this code is for time series prediction using ANN neural networks.
YPFZ102-Time-Series-Prediction-using-ANFIS
- Time series prediction fuzzy
time series model
- 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model
LSTM-for-time-series-prediction
- 本代码是使用lstm进行时间序列预测，能够很清晰的说明如何使用lstm(Time series prediction using LSTM)